Issue |
Mechanics & Industry
Volume 18, Number 3, 2017
|
|
---|---|---|
Article Number | 311 | |
Number of page(s) | 10 | |
DOI | https://doi.org/10.1051/meca/2016060 | |
Published online | 24 May 2017 |
Strain measurement and determining coefficient of plastic anisotropy using digital image correlation (DIC)
School of Mechanical Engineering, Iran University of Science and Technology, Tehran, Iran
a Corresponding author : rhashemi@iust.ac.ir
Received: 16 April 2016
Accepted: 24 October 2016
The deformation and strain measurements have always been one of the main issues in structural engineering. Measuring displacements accurately without damaging structures are an important aim in experimental analysis. For an example, the existing structures need to be evaluated whether they are still fit for purposes or not. To assess complex structures, we need an acceptable and enough amount of data Current strain measurement technologies are not capable of evaluating compounded structures. This paper investigates on an alternative method that uses digital images to provide a full displacement and strain field called Digital Image Correlation (DIC); This technique compares the digital images taken from digital cameras, before and after deformation. We also calculated the coefficient of plastic anisotropy. An aluminium 1050 specimen was loaded in tension according to ASTM E8 testing method while the Sony camcorder captured the video of the specimen being loaded. Once the video was captured, the images were snapshot from video strip using a built-in function of the camera. After that, the images were processed using the Matlab software. The results determined by the extensometer and the optical strain measurement method were compared to each other. This comparison shows that if the test’s setup could be configured in a good way, the error will be less than 2%.
Key words: Strain measurement / digital image correlation / tensile test / finite element / coefficient of plastic anisotropy
© AFM, EDP Sciences 2017
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.